Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

Environmental sound classification is one of the important issues in the audio recognition
field. Compared with structured sounds such as speech and music, the time–frequency …

With the popularity of using deep learning-based models in various categorization problems
and their proven robustness compared to conventional methods, a growing number of …

To increase the situation awareness of firefighters, literature frequently proposes the use of
novel firefighter information technologies. Due to the versatility of the field and the lack of …

Accuracy cognition in the complex and dynamic environment plays a pivotal part in artificial
intelligence. Accurate classification of acoustic events is one of the foundations of …

Over the past few years, the study of environmental sound classification (ESC) has become
very popular due to the intricate nature of environmental sounds. This paper reports our …

Automated environmental sound recognition has clear engineering benefits; it allows audio
to be sorted, curated, and searched. Unlike music and language, environmental sound is …

With the popular application of deep learning-based models in various classification
problems, more and more researchers have applied these models to environmental sound …

Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …

Fire incidents are responsible for severe damage and thousands of deaths every year all
over the world. Extreme temperatures, low visibility, toxic gases, and unknown locations of …